Fixes #7 and #8

labeled_anomalies.csv

@@ -35,12 +35,12 @@ G-3,SMAP,"[[3950,4000]]",[point],7907
 T-1,SMAP,"[[2149, 3648], [6300,6335]]","[point, contextual]",8612
 T-2,SMAP,"[[6590, 8387]]",[point],8625
 D-8,SMAP,"[[4120, 4170]]",[point],7874
-D-9,SMAP,"[[6000, 7406]]",[point],7406
-F-2,SMAP,"[[5419, 8626]]",[point],8626
+D-9,SMAP,"[[6000, 7405]]",[point],7406
+F-2,SMAP,"[[5419, 8625]]",[point],8626
 G-4,SMAP,"[[4440, 4470]]",[point],7632
 T-3,SMAP,"[[1848,1930],[4950,5050]]","[point, point]",8579
 D-11,SMAP,"[[4020, 4080]]",[point],7431
-D-12,SMAP,"[[4928, 8467]]",[point],7918
+D-12,SMAP,"[[4928, 7917]]",[point],7918
 B-1,SMAP,"[[4810, 4880]]",[point],8044
 G-6,SMAP,"[[5350, 5450]]",[point],8640
 G-7,SMAP,"[[3400, 3500], [4800,4850], [7310, 7425]]","[contextual, point, contextual]",8029
@@ -51,8 +51,8 @@ A-6,SMAP,"[[1640, 1680]]",[point],4453
 A-7,SMAP,"[[5950, 8350]]",[contextual],8631
 D-13,SMAP,"[[4820, 4980]]",[point],7663
 P-2,SMAP,"[[5050, 6170]]",[point],8209
-A-8,SMAP,"[[4319, 8375]]",[contextual],8375
-A-9,SMAP,"[[4319, 8434]]",[contextual],8434
+A-8,SMAP,"[[4319, 8374]]",[contextual],8375
+A-9,SMAP,"[[4319, 8433]]",[contextual],8434
 F-3,SMAP,"[[5350, 5390]]",[contextual],8376
 M-6,MSL,"[[1600, 1780]]",[point],2049
 M-1,MSL,"[[860, 2000]]",[contextual],2277

telemanom/modeling.py

@@ -25,7 +25,7 @@ def get_model(anom, X_train, y_train, logger, train=False):
         model (obj): Trained Keras LSTM model 
     '''
 
-    if not train and os.path.exists(os.path.join("data", "models", anom["chan_id"] + ".h5")):
+    if not train and os.path.exists(os.path.join("data", config.use_id, "models", anom["chan_id"] + ".h5")):
         logger.info("Loading pre-trained model")
         return load_model(os.path.join("data", config.use_id, "models", anom["chan_id"] + ".h5"))